numpy - Ignore divide by 0 warning in python -


i have function statistic issues:

import numpy np scipy.special import gamma gamma  def foo(xdata):     ...     return x1 * (                  ( #r numpy vector                   ( ((r - x2)/beta) ** (x3 -1) ) *                    ( np.exp( - ((r - x2) / x4) ) ) /                   ( x4 * gamma(x3))                  ).real                 )

sometimes shell following warning:

runtimewarning: divide 0 encountered in...

i use numpy isinf function correct results of function in other files need do. not need warning.

there way ignore message? in other words, not want shell print message.

i not want disable python warning, one.

you can disable warning numpy.seterr. put before possible division zero:

np.seterr(divide='ignore')

that'll disable 0 division warnings globally. if want disable them little bit, can use numpy.errstate in with clause:

with np.errstate(divide='ignore'):     # code here

for 0 zero division (undetermined, results in nan), error behaviour has changed numpy version 1.12.0: considered "invalid", while "divide".

thus, if there chance numerator 0 well, use

np.seterr(divide='ignore', invalid='ignore')

or

with np.errstate(divide='ignore', invalid='ignore'):     # code here

see "compatibility" section in release notes, last paragraph before "new features" section:

comparing nan floating point numbers raises invalid runtime warning. if nan expected warning can ignored using np.errstate.


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